Linda C. van der Gaag

142 papers A* 2A 30B 13C 16Misc 4Journal 49Unranked 26

Year	Rank	Type	Title / Venue / Authors
2021	C	`conf`	Generalized Rules of Probabilistic Independence. ECSQARU Janneke H. Bolt, Linda C. van der Gaag
2020	J	`jnl`	A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
2020	J	`jnl`	A lattice-based representation of independence relations for efficient closure computation. Int. J. Approx. Reason. Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt
2020	—	`conf`	Building Causal Interaction Models by Recursive Unfolding. PGM Linda C. van der Gaag, Silja Renooij, Alessandro Facchini
2020	J	`jnl`	Detecting correlation between extreme probability events. Int. J. Gen. Syst. Giulianella Coletti, Linda C. van der Gaag, Davide Petturiti, Barbara Vantaggi
2020	—	`conf`	Poset Representations for Sets of Elementary Triplets. PGM Linda C. van der Gaag, Janneke H. Bolt
2019	—	`conf`	An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. ISIPTA Alvaro Henrique Chaim Correia, Cassio P. de Campos, Linda C. van der Gaag
2019	—	`conf`	On Intercausal Interactions in Probabilistic Relational Models. ISIPTA Silja Renooij, Linda C. van der Gaag, Philippe Leray
2019	—	`conf`	On Minimum Elementary-Triplet Bases for Independence Relations. ISIPTA Janneke H. Bolt, Linda C. van der Gaag
2019	—	`conf`	The Hidden Elegance of Causal Interaction Models. SUM Silja Renooij, Linda C. van der Gaag
2018	—	`conf`	A Lattice Representation of Independence Relations. PGM Linda C. van der Gaag, Marco Baioletti, Janneke H. Bolt
2018	—	`conf`	Naive Bayesian Classifiers with Extreme Probability Features. PGM Linda C. van der Gaag, Andrea Capotorti
2018	—	`conf`	Qualitative Probabilistic Relational Models. SUM Linda C. van der Gaag, Philippe Leray
2017	J	`jnl`	Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers. Int. J. Approx. Reason. Janneke H. Bolt, Linda C. van der Gaag
2017	J	`jnl`	Concise representations and construction algorithms for semi-graphoid independency models. Int. J. Approx. Reason. Stavros Lopatatzidis, Linda C. van der Gaag
2017	C	`conf`	Exploiting Stability for Compact Representation of Independency Models. ECSQARU Linda C. van der Gaag, Stavros Lopatatzidis
2017	—	`conf`	Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments. BNCAI Remi Wieten, Floris Bex, Linda C. van der Gaag, Henry Prakken, Silja Renooij
2016	J	`jnl`	Learning from incomplete data in Bayesian networks with qualitative influences. Int. J. Approx. Reason. Andrés R. Masegosa, A. J. Feelders, Linda C. van der Gaag
2015	J	`jnl`	An intercausal cancellation model for Bayesian-network engineering. Int. J. Approx. Reason. Steven P. D. Woudenberg, Linda C. van der Gaag, Carin M. A. Rademaker
2015	C	`conf`	Balanced Tuning of Multi-dimensional Bayesian Network Classifiers. ECSQARU Janneke H. Bolt, Linda C. van der Gaag
2015	C	`conf`	Computing Concise Representations of Semi-graphoid Independency Models. ECSQARU Stavros Lopatatzidis, Linda C. van der Gaag
2015	C	`conf`	Multi-classifiers of Small Treewidth. ECSQARU Arnoud Pastink, Linda C. van der Gaag
2015	J	`jnl`	Propagation effects of model-calculated probability values in Bayesian networks. Int. J. Approx. Reason. Steven P. D. Woudenberg, Linda C. van der Gaag
2015	C	`conf`	Relevance of Evidence in Bayesian Networks. ECSQARU Michelle Meekes, Silja Renooij, Linda C. van der Gaag
2014	A	`conf`	Knowledge-based Bias Correction - A Case Study in Veterinary Decision Support. ECAI Thomas E. Krak, Linda C. van der Gaag
2014	—	`ed.`	Probabilistic Graphical Models - 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings Probabilistic Graphical Models Linda C. van der Gaag, A. J. Feelders
2014	A	`conf`	Provisional Propagation for Verifying Monotonicity of Bayesian Networks. ECAI Merel T. Rietbergen, Linda C. van der Gaag, Hans L. Bodlaender
2014	B	`conf`	Real-Time Adaptive Residual Calculation for Detecting Trend Deviations in Systems with Natural Variability. IDA Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
2014	A	`conf`	Real-time Adaptive Problem Detection in Poultry. ECAI Steven P. D. Woudenberg, Linda C. van der Gaag, Ad Feelders, Armin R. W. Elbers
2014	A	`conf`	The Persistence of Most Probable Explanations in Bayesian Networks. ECAI Arnoud Pastink, Linda C. van der Gaag
2013	J	`jnl`	Analysing Sensitivity Data from Probabilistic Networks CoRR Linda C. van der Gaag, Silja Renooij
2013	J	`jnl`	Computing Probability Intervals Under Independency Constraints CoRR Linda C. van der Gaag
2013	J	`jnl`	Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information CoRR Marek J. Druzdzel, Linda C. van der Gaag
2013	J	`jnl`	Enhancing QPNs for Trade-off Resolution CoRR Silja Renooij, Linda C. van der Gaag
2013	J	`jnl`	From Qualitative to Quantitative Probabilistic Networks CoRR Silja Renooij, Linda C. van der Gaag
2013	J	`jnl`	How to Elicit Many Probabilities CoRR Linda C. van der Gaag, Silja Renooij, Cilia Witteman, Berthe M. P. Aleman, Babs G. Taal
2013	J	`jnl`	Making Sensitivity Analysis Computationally Efficient CoRR Uffe Kjærulff, Linda C. van der Gaag
2013	J	`jnl`	Pivotal Pruning of Trade-offs in QPNs CoRR Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green
2013	J	`jnl`	Pre-processing for Triangulation of Probabilistic Networks CoRR Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag
2013	C	`ed.`	Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013. Proceedings ECSQARU Linda C. van der Gaag
2012	—	`conf`	Discretisation Effects in Naive Bayesian Networks. IPMU (3) Roel Bertens, Linda C. van der Gaag, Silja Renooij
2012	J	`jnl`	Evidence-invariant Sensitivity Bounds CoRR Silja Renooij, Linda C. van der Gaag
2012	—	`conf`	Experiences with Eliciting Probabilities from Multiple Experts. IPMU (3) Linda C. van der Gaag, Silja Renooij, Hermina Schijf, Armin Elbers, Willie Loeffen
2012	J	`jnl`	Exploiting Evidence-dependent Sensitivity Bounds CoRR Silja Renooij, Linda C. van der Gaag
2012	J	`jnl`	Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences CoRR Ad Feelders, Linda C. van der Gaag
2012	J	`jnl`	Monotonicity in Bayesian Networks CoRR Linda C. van der Gaag, Hans L. Bodlaender, Ad Feelders
2012	J	`jnl`	Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (2007) CoRR Ronald Parr, Linda C. van der Gaag
2012	J	`jnl`	Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. CoRR Theodore Charitos, Linda C. van der Gaag
2012	J	`jnl`	Stable Independance and Complexity of Representation CoRR Peter R. de Waal, Linda C. van der Gaag
2012	J	`jnl`	Stable Independence in Perfect Maps CoRR Peter R. de Waal, Linda C. van der Gaag
2012	J	`jnl`	The Computational Complexity of Sensitivity Analysis and Parameter Tuning CoRR Johan Kwisthout, Linda C. van der Gaag
2012	J	`jnl`	Upgrading Ambiguous Signs in QPNs CoRR Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag
2011	C	`conf`	Attaining Monotonicity for Bayesian Networks. ECSQARU Merel T. Rietbergen, Linda C. van der Gaag
2011	C	`conf`	On Stopping Evidence Gathering for Diagnostic Bayesian Networks. ECSQARU Linda C. van der Gaag, Hans L. Bodlaender
2011	B	`conf`	The Complexity of Finding SOFSEM Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
2011	C	`conf`	Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not. ECSQARU Steven P. D. Woudenberg, Linda C. van der Gaag
2011	C	`conf`	When Learning Naive Bayesian Classifiers Preserves Monotonicity. ECSQARU Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders
2010	—	`conf`	An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. IPMU (1) Janneke H. Bolt, Linda C. van der Gaag
2010	J	`jnl`	Library-style ontologies to support varying model views. Int. J. Approx. Reason. Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf
2010	C	`conf`	Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever. IPMU Linda C. van der Gaag, Janneke H. Bolt, Willie Loeffen, Armin Elbers
2010	A	`conf`	The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. ECAI Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
2009	J	`jnl`	A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas
2009	—	`conf`	Aligning Bayesian Network Classifiers with Medical Contexts. MLDM Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser
2009	J	`jnl`	Preface. Int. J. Approx. Reason. Linda C. van der Gaag, Russell G. Almond
2009	J	`jnl`	Verifying monotonicity of Bayesian networks with domain experts. Int. J. Approx. Reason. Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf, Petra L. Geenen
2009	C	`conf`	When in Doubt ... Be Indecisive. ECSQARU Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen
2008	J	`jnl`	Enhanced qualitative probabilistic networks for resolving trade-offs. Artif. Intell. Silja Renooij, Linda C. van der Gaag
2008	J	`jnl`	Evidence and scenario sensitivities in naive Bayesian classifiers. Int. J. Approx. Reason. Silja Renooij, Linda C. van der Gaag
2008	A	`conf`	The Computational Complexity of Sensitivity Analysis and Parameter Tuning. UAI Johan Kwisthout, Linda C. van der Gaag
2007	J	`jnl`	Convergence in Markovian models with implications for efficiency of inference. Int. J. Approx. Reason. Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag
2007	B	`conf`	Enhancing Automated Test Selection in Probabilistic Networks. AIME Danielle Sent, Linda C. van der Gaag
2007	C	`conf`	Inference and Learning in Multi-dimensional Bayesian Network Classifiers. ECSQARU Peter R. de Waal, Linda C. van der Gaag
2007	—	`conf`	Library-style Ontologies to Support Varying Model Views. BMA Hermina J. M. Tabachneck-Schijf, Linda C. van der Gaag
2007	B	`conf`	On the Behaviour of Information Measures for Test Selection. AIME Danielle Sent, Linda C. van der Gaag
2007	J	`jnl`	Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. Knowl. Eng. Rev. Eveline M. Helsper, Linda C. van der Gaag
2007	A	`ed.`	UAI 2007, Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada, July 19-22, 2007 UAI Ronald Parr, Linda C. van der Gaag
2006	—	`conf`	Automated Test Selection in Decision-Support Systems: a Case Study in Oncology. MIE Danielle Sent, Linda C. van der Gaag
2006	—	`conf`	Evidence and Scenario Sensitivities in Naive Bayesian Classifiers. Probabilistic Graphical Models Silja Renooij, Linda C. van der Gaag
2006	—	`conf`	Lattices for Studying Monotonicity of Bayesian Networks. Probabilistic Graphical Models Linda C. van der Gaag, Silja Renooij, Petra L. Geenen
2006	J	`jnl`	Learning Bayesian network parameters under order constraints. Int. J. Approx. Reason. A. J. Feelders, Linda C. van der Gaag
2006	—	`conf`	Multi-dimensional Bayesian Network Classifiers. Probabilistic Graphical Models Linda C. van der Gaag, Peter R. de Waal
2006	—	`conf`	Preprocessing the MAP Problem. Probabilistic Graphical Models Janneke H. Bolt, Linda C. van der Gaag
2006	A	`conf`	Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. UAI Theodore Charitos, Linda C. van der Gaag
2006	Misc	`conf`	Sensitivity Analysis of Markovian Models. FLAIRS Theodore Charitos, Linda C. van der Gaag
2005	B	`conf`	Bringing order into bayesian-network construction. K-CAP Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers
2005	A	`conf`	Exploiting Evidence-dependent Sensitivity Bounds. UAI Silja Renooij, Linda C. van der Gaag
2005	J	`jnl`	Generalised reliability characteristics for probabilistic networks. Artif. Intell. Medicine Danielle Sent, Linda C. van der Gaag
2005	C	`conf`	Haskell ready to dazzle the real world. Haskell Martijn M. Schrage, Arjan van IJzendoorn, Linda C. van der Gaag
2005	J	`jnl`	Introducing situational signs in qualitative probabilistic networks. Int. J. Approx. Reason. Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
2005	A	`conf`	Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI A. J. Feelders, Linda C. van der Gaag
2005	Misc	`conf`	Speeding Up Inference in Markovian Models. FLAIRS Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag
2005	A	`conf`	Stable Independence in Perfect Maps. UAI Peter R. de Waal, Linda C. van der Gaag
2004	A	`conf`	A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. ECAI Madalina M. Drugan, Linda C. van der Gaag
2004	J	`jnl`	Bayesian networks in biomedicine and health-care. Artif. Intell. Medicine Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna
2004	A	`conf`	Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks. ECAI Linda C. van der Gaag, Eveline M. Helsper
2004	B	`conf`	Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks. EKAW Eveline M. Helsper, Linda C. van der Gaag, Floris Groenendaal
2004	A	`conf`	Evidence-invariant Sensitivity Bounds. UAI Silja Renooij, Linda C. van der Gaag
2004	A	`conf`	Monotonicity in Bayesian Networks. UAI Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders
2004	—	`conf`	On the Robustness of Feature Selection with Absent and Non-observed Features. ISBMDA Petra L. Geenen, Linda C. van der Gaag, Willie Loeffen, Armin Elbers
2004	—	`conf`	Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. ISBMDA Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga
2004	A	`conf`	Stable Independance and Complexity of Representation. UAI Peter R. de Waal, Linda C. van der Gaag
2003	—	`conf`	A Skeleton-Based Approach to Learning Bayesian Networks from Data. PKDD Steven van Dijk, Linda C. van der Gaag, Dirk Thierens
2003	A	`conf`	Building a GA from Design Principles for Learning Bayesian Networks. GECCO Steven van Dijk, Dirk Thierens, Linda C. van der Gaag
2003	B	`conf`	Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer. AIME Wouter P. van Rijsinge, Linda C. van der Gaag, Frank L. J. Visseren, Yolanda van der Graaf
2003	B	`conf`	Detailing Test Characteristics for Probabilistic Networks. AIME Danielle Sent, Linda C. van der Gaag
2003	C	`conf`	Introducing Situational Influences in QPNs. ECSQARU Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
2003	—	`conf`	On the Use of Vignettes for Eliciting Test-Selection Strategies. MIE Danielle Sent, Linda C. van der Gaag, Cilia Witteman, Berthe M. P. Aleman, Babs G. Taal
2003	B	`conf`	Probabilistic Networks as Probabilistic Forecasters. AIME Linda C. van der Gaag, Silja Renooij
2003	A	`conf`	Upgrading Ambiguous Signs in QPNs. UAI Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag
2002	A	`conf`	Building Bayesian Networks through Ontologies. ECAI Eveline M. Helsper, Linda C. van der Gaag
2002	J	`jnl`	Context-specific sign-propagation in qualitative probabilistic networks. Artif. Intell. Silja Renooij, Linda C. van der Gaag, Simon Parsons
2002	B	`conf`	Experiences with Modelling Issues in Building Probabilistic Networks. EKAW Linda C. van der Gaag, Eveline M. Helsper
2002	A	`conf`	From Qualitative to Quantitative Probabilistic Networks. UAI Silja Renooij, Linda C. van der Gaag
2002	A	`conf`	On the Complexity of the MPA Problem in Probabilistic Networks. ECAI Hans L. Bodlaender, Frank van den Eijkhof, Linda C. van der Gaag
2002	J	`jnl`	Probabilities for a probabilistic network: a case study in oesophageal cancer. Artif. Intell. Medicine Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal
2002	A	`conf`	Propagation of Multiple Observations in QPNs Revisited. ECAI Silja Renooij, Linda C. van der Gaag, Simon Parsons
2002	J	`jnl`	Properties of Sensitivity Analysis of Bayesian Belief Networks. Ann. Math. Artif. Intell. Veerle M. H. Coupé, Linda C. van der Gaag
2001	A	`conf`	Analysing Sensitivity Data from Probabilistic Networks. UAI Linda C. van der Gaag, Silja Renooij
2001	A*	`conf`	Context-specific Sign-propagation in Qualitative Probabilistic Networks. IJCAI Silja Renooij, Simon Parsons, Linda C. van der Gaag
2001	B	`conf`	On the Evaluation of Probabilistic Networks. AIME Linda C. van der Gaag, Silja Renooij
2001	A	`conf`	Pre-processing for Triangulation of Probabilistic Networks. UAI Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag
2001	B	`conf`	The Effects of Disregarding Test Characteristics in Probabilistic Networks. AIME Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen
2000	J	`jnl`	Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. IEEE Trans. Knowl. Data Eng. Marek J. Druzdzel, Linda C. van der Gaag
2000	A	`conf`	Making Sensitivity Analysis Computationally Efficient. UAI Uffe Kjærulff, Linda C. van der Gaag
2000	A	`conf`	Pivotal Pruning of Trade-offs in QPNs. UAI Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green
2000	Misc	`conf`	Zooming in on Trade-Offs in Qualitative Probabilistic Networks. FLAIRS Silja Renooij, Linda C. van der Gaag, Shaw Green, Simon Parsons
1999	A	`conf`	Enhancing QPNs for Trade-off Resolution. UAI Silja Renooij, Linda C. van der Gaag
1999	A	`conf`	How to Elicit Many Probabilities. UAI Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, Berthe M. P. Aleman, Babs G. Taal
1999	—	`conf`	Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks. AI*IA Linda C. van der Gaag, Veerle M. H. Coupé
1998	Misc	`conf`	Decision Making in Qualitative Influence Diagrams. FLAIRS Silja Renooij, Linda C. van der Gaag
1998	J	`jnl`	Informational independence: Models and normal forms. Int. J. Intell. Syst. Linda C. van der Gaag, John-Jules Ch. Meyer
1997	B	`conf`	Supporting Probability Elicitation by Sensitivity Analysis. EKAW Veerle M. H. Coupé, Linda C. van der Gaag
1996	J	`jnl`	Bayesian Belief Networks: Odds and Ends. Comput. J. Linda C. van der Gaag
1996	J	`jnl`	On evidence absorption for belief networks. Int. J. Approx. Reason. Linda C. van der Gaag
1995	—	`conf`	A Case-based Filter for Diagnostic Belief Networks. SCAI Niels Peek, Linda C. van der Gaag
1995	A	`conf`	Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI Marek J. Druzdzel, Linda C. van der Gaag
1993	A*	`conf`	Efficient Context-Sensitive Plausible Inference for Information Disclosure. SIGIR Peter Bruza, Linda C. van der Gaag
1993	J	`jnl`	The LazyRMS: Avoiding Work in the ATMS. Comput. Intell. Gerry Kelleher, Linda C. van der Gaag
1991	—	`book`	Principles of expert systems. Peter J. F. Lucas, Linda C. van der Gaag
1990	A	`conf`	Computing probability intervals under independency constraints. UAI Linda C. van der Gaag
1990	J	`jnl`	Different Notions of Uncertainty in Quasi-Probabilistic Models. Int. J. Man Mach. Stud. Linda C. van der Gaag
1989	J	`jnl`	A conceptual model for inexact reasoning in rule-based systems. Int. J. Approx. Reason. Linda C. van der Gaag